About
I am a Software Engineer, Machine Learning at Meta, where I develop classification and regression models to improve the existing tools for billions of users by exploring data, features, and model structure. I have a Master's degree in Informatics and Applied Mathematics from Yerevan State University, with a focus on discrete mathematics and theoretical informatics. I have more than five years of experience in machine learning and deep learning, covering various domains such as natural language processing, computer vision, and reinforcement learning. I have published a paper on propositional resolution systems of classical and non-classical logics in Sciences of Europe. I have also worked as a machine learning scientist at G42, where I trained football match outcome prediction models and trajectory prediction models for the Digital Twin project, achieving state-of-the-art results on public datasets. Previously, I was a senior machine learning engineer at RedKite, where I created a document processing tool and managed the information extraction from documents using OCR and entity recognition techniques for Penciver project. I have a strong background in statistics, mathematics, and computer science, as well as proficient skills in Python, Pytorch, C++, Scikit-learn, Numpy, Pandas, TensorBoard, Docker, and other tools and frameworks. I am passionate about creating innovative solutions that can benefit people and society, and I enjoy collaborating with other professionals, transferring knowledge, and creating positive vibes.